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Reading Time: 2 minutes After over a year of the COVID-19 pandemic, perhaps we can now finally see the light at the end of the tunnel, though it may still seem a bit far off. Already, the economy is starting to recoup some of…
Reading Time: 3 minutes In a previous post, we reviewed the value of APIs and how the data virtualization layer can be used as a data service provider. Another powerful way to use data virtualization and data services is to use the data virtualization…
Reading Time: 3 minutes If you want to know why a Physical Data Warehouse is no longer suitable for newer data types, register to the webinar “The Big BI Dilemma – Bimodal Logical Data Warehouse to the Rescue!” by Rick van der Lans on…
Reading Time: 5 minutes If you check the reference logical architectures for big data analytics proposed by Forrester and Gartner, or ask your colleagues building big data analytics platforms for their companies (typically under the ‘enterprise data lake’ tag), they will all tell you…
Reading Time: 3 minutes Leveraging enterprise data for generative AI and large language models presents significant challenges related to data silos, quality inconsistencies, privacy and security concerns, compliance with data regulations, capturing domain-specific knowledge, and mitigating inherent biases. Organizations must navigate the complexities of…
Reading Time: 3 minutes Recently, I was fortunate enough to get some time with the CIO of a mid-sized financial services company. When I asked him what his most pressing priority was for 2024, he answered, “taming the data storm.” CIOs are no longer viewed…
Reading Time: 3 minutes More and more companies are managing messages and events in real time using tools like Apache Kafka. Kafka is used when real-time data streaming and event-driven architectures with scalable data processing are essential. It can benefit the management of microservices,…
Reading Time: 4 minutes Organizations are constantly striving to harness the power of their data assets to make informed decisions and gain a competitive edge. This is why data mesh has emerged as a revolutionary approach to managing and scaling data infrastructure. Data mesh…
Reading Time: 2 minutes In the ever-evolving landscape of data management, one concept has been garnering the attention of companies and challenging traditional centralized data architectures. This concept is known as “data mesh,” and it has the potential to revolutionize the way organizations handle…
Reading Time: 5 minutes The data landscape has become more complex, as organizations recognize the need to leverage data and analytics for a competitive edge. Companies are collecting traditional structured data as well as text, machine-generated data, semistructured data, geospatial data, and more. Many…
